Build scalable data infrastructure at Nasdaq using Python, cloud platforms, and distributed pipelines. Support a global data marketplace serving hundreds of thousands of professionals.
As a Data Engineering Specialist, reporting to the Senior Director of Data Engineering, you will design and maintain data platform components. Your work will emphasize data onboarding, automation, ingestion, and quality assurance. You will support structured and unstructured data across real-time and batch processing environments.
Key Responsibilities: Design and maintain data platform components for onboarding
Build ingestion pipelines for large data volumes
Automate processing, transformation, and quality workflows
Manage distributed pipelines across cloud environments
Promote maintainable code through cooperative reviews
Requirements: Bachelor's degree or equivalent practical experience
Five to seven years of software or data engineering
Proficiency in Python and working SQL knowledge
Working knowledge of Spark or PySpark
Cloud platform and pipeline orchestration experience
Apply your Python, cloud, and data pipeline expertise to advance Nasdaq's reliable data marketplace infrastructure.